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Cyber Threat Intelligence Discovery in the Dark Net

Faculty #42
Discipline: Computer Sciences & Information Management
Subcategory: STEM Research

Azene Zenebe - Bowie State University
Co-Author(s): Andrei Carillo Mufaro Shumba



In the dark net, many hackers are always sharing information and learning from each other in forum posts. Manual analysis of the data on these fora may be hard for a human to earnest because these forum posts are big data. Using the forum dataset, provided by the University of Arizona, we explored the existence of intelligence related to valuable cyber threats. We used the decision tree and random forest machine learning algorithms to classify exploit types. We found that analyzing dark net forum posts provides intelligence that could contribute to defending the cyberspace.

Funder Acknowledgement(s): The National Science Foundation Research Experiences for Undergraduates in Cybersecurity

Faculty Advisor: None Listed,

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This material is based upon work supported by the National Science Foundation (NSF) under Grant No. DUE-1930047. Any opinions, findings, interpretations, conclusions or recommendations expressed in this material are those of its authors and do not represent the views of the AAAS Board of Directors, the Council of AAAS, AAAS’ membership or the National Science Foundation.

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